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Learning Optimal Tree Models Under Beam Search

Learning Optimal Tree Models Under Beam Search

27 June 2020
Jingwei Zhuo
Xinhang Li
Wei Dai
Ziru Xu
Han Li
Jian Xu
Kun Gai
ArXivPDFHTML

Papers citing "Learning Optimal Tree Models Under Beam Search"

10 / 10 papers shown
Title
FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation
FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation
Guoquan Wang
Qiang Luo
Weisong Hu
Pengfei Yao
Wencong Zeng
Guorui Zhou
Kun Gai
AI4TS
56
0
0
23 Apr 2025
Long-Sequence Recommendation Models Need Decoupled Embeddings
Long-Sequence Recommendation Models Need Decoupled Embeddings
Ningya Feng
Junwei Pan
Jialong Wu
Baixu Chen
Ximei Wang
Qian Li
Xian Hu
Jie Jiang
Mingsheng Long
AI4TS
40
2
0
03 Oct 2024
Generalized test utilities for long-tail performance in extreme
  multi-label classification
Generalized test utilities for long-tail performance in extreme multi-label classification
Erik Schultheis
Marek Wydmuch
Wojciech Kotlowski
Rohit Babbar
Krzysztof Dembczyñski
ELM
21
3
0
09 Nov 2023
SPEED: Streaming Partition and Parallel Acceleration for Temporal
  Interaction Graph Embedding
SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding
Xiangshan Chen
Yongxiang Liao
Yun Xiong
Yao Zhang
Si-Yuan Zhang
Jiawei Zhang
Yiheng Sun
23
6
0
27 Aug 2023
CoopHash: Cooperative Learning of Multipurpose Descriptor and
  Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image
  Hashing
CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing
Khoa D. Doan
Jianwen Xie
Y. Zhu
Yang Zhao
Ping Li
GAN
18
2
0
09 Oct 2022
Set-valued prediction in hierarchical classification with constrained
  representation complexity
Set-valued prediction in hierarchical classification with constrained representation complexity
Thomas Mortier
Eyke Hüllermeier
Krzysztof Dembczyñski
Willem Waegeman
14
3
0
13 Mar 2022
Givens Coordinate Descent Methods for Rotation Matrix Learning in
  Trainable Embedding Indexes
Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes
Yunjiang Jiang
Han Zhang
Yiming Qiu
Yun Xiao
Bo Long
Wen-Yun Yang
19
6
0
09 Mar 2022
Approximate Nearest Neighbor Search under Neural Similarity Metric for
  Large-Scale Recommendation
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation
Rihan Chen
Bin Liu
Ziru Xu
Yao Wang
Qi Li
...
Q. hua
Junliang Jiang
Yunlong Xu
Hongbo Deng
Bo Zheng
37
21
0
14 Feb 2022
Propensity-scored Probabilistic Label Trees
Propensity-scored Probabilistic Label Trees
Marek Wydmuch
Kalina Jasinska-Kobus
Rohit Babbar
Krzysztof Dembczyñski
19
8
0
20 Oct 2021
Exploration in Online Advertising Systems with Deep Uncertainty-Aware
  Learning
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning
Chao Du
Zhifeng Gao
Shuo Yuan
Lining Gao
Z. Li
Yifan Zeng
Xiaoqiang Zhu
Jian Xu
Kun Gai
Kuang-chih Lee
25
18
0
25 Nov 2020
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